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Faut-il des relevés de flore exhaustifs pour caractériser et cartographier l'acidité et les propriétés nutritionnelles des sols ? / Paulina E. Pinto in Rendez-vous techniques, n° 61-62 (hiver - printemps 2019)
[article]
Titre : Faut-il des relevés de flore exhaustifs pour caractériser et cartographier l'acidité et les propriétés nutritionnelles des sols ? Type de document : Article/Communication Auteurs : Paulina E. Pinto, Auteur ; Jean-Luc Dupouey, Auteur ; Jean-Claude Gégout, Auteur ; Jean-Christophe Hervé (1961-2017) , Auteur ; Myriam Legay, Auteur ; Pierre Montpied, Auteur ; Christian Piedallu, Auteur ; Noémie Pousse, Auteur ; Stéphanie Wurpillot , Auteur Année de publication : 2019 Projets : ARBRE / AgroParisTech (2007 -) Article en page(s) : pp 71 - 84 Note générale : bibliographie Langues : Français (fre) Descripteur : [Termes IGN] caractérisation
[Termes IGN] carte pédologique
[Termes IGN] composition floristique
[Termes IGN] pédologie
[Termes IGN] placette d'échantillonnage
[Termes IGN] sol acide
[Termes IGN] teneur en azote
[Vedettes matières IGN] Ecologie forestièreRésumé : (auteur) Les caractéristiques nutritionnelles des sols peuvent être évaluées par des approches de bioindication souvent basées sur des inventaires floristiques complets des espèces présentes dans une placette. La durée de ces inventaires floristiques a limité l’utilisation, au-delà des catalogues de station, de la bioindication dans la gestion des forêts et d'autres milieux naturels. Dans le cadre de l’estimation et de la cartographie des propriétés des sols, nous avons cherché à déterminer s’il était possible de réduire le temps d’acquisition des données flore sur le terrain en vue d’estimer l’acidité, la disponibilité en éléments minéraux et en azote du sol par bioindication. Un dispositif de 470 relevés chronométrés, répartis à échelle nationale et dans trois forêts du nord-est de la France, a permis de mettre en évidence que 80 % de la précision maximale de prédiction est obtenue après 4-5 minutes d’inventaire floristique (6-12 espèces inventoriées) pour les trois variables étudiées. Numéro de notice : A2019-637 Affiliation des auteurs : IGN+Ext (2012-2019) Thématique : FORET Nature : Article nature-HAL : ArtSansCL DOI : sans Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=95560
in Rendez-vous techniques > n° 61-62 (hiver - printemps 2019) . - pp 71 - 84[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité IFN-001-P002189 PER Revue Nogent-sur-Vernisson Salle périodiques Exclu du prêt Documents numériques
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Faut-il des relevés de flore exhaustifs ... - pdf éditeurAdobe Acrobat PDF Mapping spatial variability of foliar nitrogen in coffee (Coffea arabica L.) plantations with multispectral Sentinel-2 MSI data / Abel Chemura in ISPRS Journal of photogrammetry and remote sensing, vol 138 (April 2018)
[article]
Titre : Mapping spatial variability of foliar nitrogen in coffee (Coffea arabica L.) plantations with multispectral Sentinel-2 MSI data Type de document : Article/Communication Auteurs : Abel Chemura, Auteur ; Onisimo Mutanga, Auteur ; John Odindi, Auteur ; Dumisani Kutywayo, Auteur Année de publication : 2018 Article en page(s) : pp 1 - 11 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] agriculture de précision
[Termes IGN] classification par forêts d'arbres décisionnels
[Termes IGN] Coffea arabica
[Termes IGN] feuille (végétation)
[Termes IGN] image Sentinel-MSI
[Termes IGN] nutriment végétal
[Termes IGN] teneur en azoteRésumé : (auteur) Nitrogen (N) is the most limiting factor to coffee development and productivity. Therefore, development of rapid, spatially explicit and temporal remote sensing-based approaches to determine spatial variability of coffee foliar N are imperative for increasing yields, reducing production costs and mitigating environmental impacts associated with excessive N applications. This study sought to assess the value of Sentinel-2 MSI spectral bands and vegetation indices in empirical estimation of coffee foliar N content at landscape level. Results showed that coffee foliar N is related to Sentinel-2 MSI B4 (R2 = 0.32), B6 (R2 = 0.49), B7 (R2 = 0.42), B8 (R2 = 0.57) and B12 (R2 = 0.24) bands. Vegetation indices were more related to coffee foliar N as shown by the Inverted Red-Edge Chlorophyll Index – IRECI (R2 = 0.66), Relative Normalized Difference Index – RNDVI (R2 = 0.48), CIRE1 (R2 = 0.28), and Normalized Difference Infrared Index – NDII (R2 = 0.37). These variables were also identified by the random forest variable optimisation as the most valuable in coffee foliar N prediction. Modelling coffee foliar N using vegetation indices produced better accuracy (R2 = 0.71 with RMSE = 0.27 for all and R2 = 0.73 with RMSE = 0.25 for optimized variables), compared to using spectral bands (R2 = 0.57 with RMSE = 0.32 for all and R2 = 0.58 with RMSE = 0.32 for optimized variables). Combining optimized bands and vegetation indices produced the best results in coffee foliar N modelling (R2 = 0.78, RMSE = 0.23). All the three best performing models (all vegetation indices, optimized vegetation indices and combining optimal bands and optimal vegetation indices) established that 15.2 ha (4.7%) of the total area under investigation had low foliar N levels ( Numéro de notice : A2018-145 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2018.02.004 Date de publication en ligne : 10/02/2018 En ligne : https://doi.org/10.1016/j.isprsjprs.2018.02.004 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=89753
in ISPRS Journal of photogrammetry and remote sensing > vol 138 (April 2018) . - pp 1 - 11[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 081-2018041 RAB Revue Centre de documentation En réserve L003 Disponible 081-2018043 DEP-EXM Revue LASTIG Dépôt en unité Exclu du prêt 081-2018042 DEP-EAF Revue Nancy Dépôt en unité Exclu du prêt Examining view angle effects on leaf N estimation in wheat using field reflectance spectroscopy / Xiao Song in ISPRS Journal of photogrammetry and remote sensing, vol 122 (December 2016)
[article]
Titre : Examining view angle effects on leaf N estimation in wheat using field reflectance spectroscopy Type de document : Article/Communication Auteurs : Xiao Song, Auteur ; Wei Feng, Auteur ; Li He, Auteur ; et al., Auteur Année de publication : 2016 Article en page(s) : pp 57 – 67 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] angle de visée
[Termes IGN] Canada
[Termes IGN] Chine
[Termes IGN] feuille (végétation)
[Termes IGN] indice de végétation
[Termes IGN] spectromètre imageur
[Termes IGN] teneur en azoteRésumé : (Auteur) Real-time, nondestructive monitoring of crop nitrogen (N) status is a critical factor for precision N management during wheat production. Over a 3-year period, we analyzed different wheat cultivars grown under different experimental conditions in China and Canada and studied the effects of viewing angle on the relationships between various vegetation indices (VIs) and leaf nitrogen concentration (LNC) using hyperspectral data from 11 field experiments. The objective was to improve the prediction accuracy by minimizing the effects of viewing angle on LNC estimation to construct a novel vegetation index (VI) for use under different experimental conditions. We examined the stability of previously reported optimum VIs obtained from 13 traditional indices for estimating LNC at 13 viewing zenith angles (VZAs) in the solar principal plane (SPP). Backscattering direction showed better index performance than forward scattering direction. Red-edge VIs including modified normalized difference vegetation index (mND705), ratio index within the red edge region (RI-1dB) and normalized difference red edge index (NDRE) were highly correlated with LNC, as confirmed by high R2 determination coefficients. However, these common VIs tended to saturation, as the relationships strongly depended on experimental conditions. To overcome the influence of VZA on VIs, the chlorophyll- and LNC-sensitive NDRE index was divided by the floating-position water band index (FWBI) to generate the integrated narrow-band vegetation index. The highest correlation between the novel NDRE/FWBI parameter and LNC (R2 = 0.852) occurred at −10°, while the lowest correlation (R2 = 0.745) occurred at 60°. NDRE/FWBI was more highly correlated with LNC than existing commonly used VIs at an identical viewing zenith angle. Upon further analysis of angle combinations, our novel VI exhibited the best performance, with the best prediction accuracy at 0° to −20° (R2 = 0.838, RMSE = 0.360) and relatively good accuracy at 0° to −30° (R2 = 0.835, RMSE = 0.366). As it is possible to monitor plant N status over a wide range of angles using portable spectrometers, viewing angles of as much as 0° to −30° are common. Consequently, we developed a united model across angles of 0° to −30° to reduce the effects of viewing angle on LNC prediction in wheat. The proposed combined NDRE/FWBI parameter, designated the wide-angle-adaptability nitrogen index (WANI), is superior for estimating LNC in wheat on a regional scale in China and Canada. Numéro de notice : A2016--021 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2016.10.002 En ligne : http://dx.doi.org/10.1016/j.isprsjprs.2016.10.002 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=83884
in ISPRS Journal of photogrammetry and remote sensing > vol 122 (December 2016) . - pp 57 – 67[article]Optimizing the bioindication of forest soil acidity, nitrogen and mineral nutrition using plant species / Paulina E. Pinto in Ecological indicators, vol 71 (December 2016)
[article]
Titre : Optimizing the bioindication of forest soil acidity, nitrogen and mineral nutrition using plant species Type de document : Article/Communication Auteurs : Paulina E. Pinto, Auteur ; Jean-Luc Dupouey, Auteur ; Jean-Christophe Hervé (1961-2017) , Auteur ; Myriam Legay, Auteur ; Stéphanie Wurpillot , Auteur ; Pierre Montpied, Auteur ; Jean-Claude Gégout, Auteur Année de publication : 2016 Projets : ARBRE / AgroParisTech (2007 -) Article en page(s) : pp 359 - 367 Note générale : bibliographie
This study was supported by the French National Institute for Agricultural Research (Forest Grassland and Freshwater Ecology Department, EFPA) through the ONF-INRA Interface Grant, “Station, distribution, croissance et choix des essences dans un contexte environnemental changeant”, and by the French National Research Agency (ANR) through the Laboratory of Excellence ARBRE (ANR-12-LABXARBRE-01)Langues : Anglais (eng) Descripteur : [Termes IGN] base de données forestières
[Termes IGN] fertilité
[Termes IGN] humidité du sol
[Termes IGN] indicateur biologique
[Termes IGN] inventaire de la végétation
[Termes IGN] placette d'échantillonnage
[Termes IGN] qualité du sol
[Termes IGN] sol acide
[Termes IGN] teneur en azote
[Vedettes matières IGN] Inventaire forestierRésumé : (auteur) Soil moisture and nutritional characteristics are frequently assessed using plant species and community bioindication, e.g., the Ellenberg system of species indicator values. This method, based on complete inventories of plant species present in plots, is time-consuming, which could prevent its general use for forest or other natural land management. Our aim was to determine the impact of a reduction in the time spent to carry out a floristic inventory on the quality of soil characteristic assessment using plant bioindication. We compared the measurements of soil pH-H2O (pH), organic carbon to total nitrogen ratio (C:N) and base saturation (BS) in the 0–5 cm soil layer of 470 plots with the same variables estimated from floristic inventories of increasing duration, using plant indicator values (IV) from the EcoPlant database. The performance of predictions was evaluated by the square of the linear correlation coefficient between measured and predicted values (R2) and the root mean square error (RMSE) of predictions.
The number rather than the percentage of total plot species used for the estimations was determinant for the prediction of soil pH quality. Performance of bioindication of pH, BS and C:N reached the maximum R2 using the first 20–25 species recorded per plot, corresponding to a 14-min-long floristic inventory in comparison to a mean of 28 min spent to carry out a complete floristic inventory. A precision of prediction of 80% of the maximal precision was obtained after 4–5 min (6–12 inventoried species) for the three studied variables. These results are independent of the nutritional capability of the soils and were similar at the national and local scales. In order to estimate soil nutritional resources by plant bioindication, it is feasible to significantly reduce the time spent on floristic inventories and, thus, their cost. This is especially useful when the goal is to map the soil quality for decision-making in forest management.Numéro de notice : A2016--084 Affiliation des auteurs : LIF+Ext (2012-2019) Thématique : FORET Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.ecolind.2016.05.047 Date de publication en ligne : 25/07/2016 En ligne : http://doi.org/10.1016/j.ecolind.2016.05.047 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=84562
in Ecological indicators > vol 71 (December 2016) . - pp 359 - 367[article]Study of the statistics of water vapor mixing ratio determined from Raman lidar measurements / Pierre Bosser in Applied Optics, vol 46 n° 3 ([20/11/2007])
[article]
Titre : Study of the statistics of water vapor mixing ratio determined from Raman lidar measurements Type de document : Article/Communication Auteurs : Pierre Bosser , Auteur ; Olivier Bock , Auteur ; Christian Thom , Auteur ; Jacques Pelon, Auteur Année de publication : 2007 Article en page(s) : pp 8170 - 8180 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement du signal
[Termes IGN] données GPS
[Termes IGN] données météorologiques
[Termes IGN] erreur systématique
[Termes IGN] étalonnage des données
[Termes IGN] lidar Raman
[Termes IGN] rapport signal sur bruit
[Termes IGN] signal GPS
[Termes IGN] teneur en azote
[Termes IGN] teneur en vapeur d'eauRésumé : (auteur) The statistical properties of atmospheric water vapor mixing ratio (WVMR) determined as the ratio of Raman lidar signals backscattered from water vapor and nitrogen molecules are studied. It is shown that WVMR estimates can be biased by a small percentage at low signal photon-counting rates due to fluctuations in the nitrogen signal in the denominator of the ratio, the magnitude of the bias being linked to the signal-to-noise ratio of the nitrogen signal. This is particularly important when unbiased estimates are required as in the case of climate studies and global positioning system (GPS) signal calibration. Different bias corrections and a modified ratio formulation are proposed in order to correct or eliminate this bias. The method is successfully applied in processing signals obtained with an experimental Raman lidar system devoted to calibrate GPS signals for slant path delays. It is shown to reduce biases into negligible values in both WVMR and wet path delay estimates in the range interval of 0–7 km. Numéro de notice : A2007-669 Affiliation des auteurs : LOEMI+Ext (1985-2011) Thématique : POSITIONNEMENT Nature : Article DOI : 10.1364/AO.46.008170 Date de publication en ligne : 19/11/2007 En ligne : https://doi.org/10.1364/AO.46.008170 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=84150
in Applied Optics > vol 46 n° 3 [20/11/2007] . - pp 8170 - 8180[article]